Design concept evaluation based on rough number and information entropy theory

Jie Hu, Guoniu Zhu, Jin Qi, Yinghong Peng, Xiaohong Peng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Concept evaluation at the early phase of product development plays a crucial role in new product development. It determines the direction of the subsequent design activities. However, the evaluation information at this stage mainly comes from experts' judgments, which is subjective and imprecise. How to manage the subjectivity to reduce the evaluation bias is a big challenge in design concept evaluation. This paper proposes a comprehensive evaluation method which combines information entropy theory and rough number. Rough number is first presented to aggregate individual judgments and priorities and to manipulate the vagueness under a group decision-making environment. A rough number based information entropy method is proposed to determine the relative weights of evaluation criteria. The composite performance values based on rough number are then calculated to rank the candidate design concepts. The results from a practical case study on the concept evaluation of an industrial robot design show that the integrated evaluation model can effectively strengthen the objectivity across the decision-making processes.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015
EditorsJianhua Ma, Laurence T. Yang, Huansheng Ning, Ali Li
Place of PublicationPiscataway, NJ (US)
PublisherIEEE
Pages1425-1431
Number of pages7
ISBN (Print)978-1-4673-7211-4
DOIs
Publication statusPublished - 21 Jul 2016
Event2015 Smart World Congress: 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops - Beijing, China
Duration: 10 Aug 201514 Aug 2015

Congress

Congress2015 Smart World Congress
Abbreviated titleUIC-ATC-ScalCom-CBDCom-IoP 2015
CountryChina
CityBeijing
Period10/08/1514/08/15

Fingerprint

Information Theory
Entropy
Product development
Decision making
Industrial robots
Decision Making
Composite materials
Weights and Measures

Bibliographical note

-© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Keywords

  • composite performance value
  • design concept evaluation
  • information entropy
  • rough number
  • subjectivity

Cite this

Hu, J., Zhu, G., Qi, J., Peng, Y., & Peng, X. (2016). Design concept evaluation based on rough number and information entropy theory. In J. Ma, L. T. Yang, H. Ning, & A. Li (Eds.), Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015 (pp. 1425-1431). Piscataway, NJ (US): IEEE. https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.257, https://doi.org/http://ieeexplore.ieee.org/document/7518436/?arnumber=7518436
Hu, Jie ; Zhu, Guoniu ; Qi, Jin ; Peng, Yinghong ; Peng, Xiaohong. / Design concept evaluation based on rough number and information entropy theory. Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015. editor / Jianhua Ma ; Laurence T. Yang ; Huansheng Ning ; Ali Li. Piscataway, NJ (US) : IEEE, 2016. pp. 1425-1431
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Hu, J, Zhu, G, Qi, J, Peng, Y & Peng, X 2016, Design concept evaluation based on rough number and information entropy theory. in J Ma, LT Yang, H Ning & A Li (eds), Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015. IEEE, Piscataway, NJ (US), pp. 1425-1431, 2015 Smart World Congress, Beijing, China, 10/08/15. https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.257, https://doi.org/http://ieeexplore.ieee.org/document/7518436/?arnumber=7518436

Design concept evaluation based on rough number and information entropy theory. / Hu, Jie; Zhu, Guoniu; Qi, Jin; Peng, Yinghong; Peng, Xiaohong.

Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015. ed. / Jianhua Ma; Laurence T. Yang; Huansheng Ning; Ali Li. Piscataway, NJ (US) : IEEE, 2016. p. 1425-1431.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N1 - -© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2016/7/21

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N2 - Concept evaluation at the early phase of product development plays a crucial role in new product development. It determines the direction of the subsequent design activities. However, the evaluation information at this stage mainly comes from experts' judgments, which is subjective and imprecise. How to manage the subjectivity to reduce the evaluation bias is a big challenge in design concept evaluation. This paper proposes a comprehensive evaluation method which combines information entropy theory and rough number. Rough number is first presented to aggregate individual judgments and priorities and to manipulate the vagueness under a group decision-making environment. A rough number based information entropy method is proposed to determine the relative weights of evaluation criteria. The composite performance values based on rough number are then calculated to rank the candidate design concepts. The results from a practical case study on the concept evaluation of an industrial robot design show that the integrated evaluation model can effectively strengthen the objectivity across the decision-making processes.

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Hu J, Zhu G, Qi J, Peng Y, Peng X. Design concept evaluation based on rough number and information entropy theory. In Ma J, Yang LT, Ning H, Li A, editors, Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015. Piscataway, NJ (US): IEEE. 2016. p. 1425-1431 https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.257, https://doi.org/http://ieeexplore.ieee.org/document/7518436/?arnumber=7518436